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Demo: RxSpatial: A Framework for real-time spatio-temporal operations 10

Demo: RxSpatial: A Framework for real-time spatio-temporal o...

引用

10th ACM International Conference on Distributed and Event-Based Systems, DEBS 2016

作者： Hendawi, Abdeltawab M. Shi, Youying Fattah, Hossam Karwa, Jumana Ali, Mohamed Department of Computer Science University of Virginia VA United States Center for Data Science Institute of Technology University of Washington WA United States Microsoft Corporation WA United States

ISBN: (纸本)9781450340212

Existing commercial database systems provide spatial libraries that support functions on static non-moving spatial objects, e.g., points, linestrings and polygons. Examples of these spatial functions include intersection, distance, buffer, and convex hull computation. The RxSpatial, or Reactive Spatial, library provides the same functionality support in the context ofmoving objects, and addresses the spatial computation challenges over high-frequency, low-latency, real-time moving objects. This demo presents the RxSpatial library that enables developers to instantly compute spatio-temporal operations in an incremental and streaming fashion. The demo scenarios show the applicability of the library in two real-world applications: spatio-temporal social networks and family locators. © 2016 ACM.

关键词： Query processing

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Decision Support Framework: Integrating Analytic Hierarchy Process with Support Vector Machine and Top-K Algorithms

Decision Support Framework: Integrating Analytic Hierarchy P...

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2024 IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology, IAICT 2024

作者： De Jesus, Mervin Jommel T. Ballera, Melvin A. Graduate Program Technological Institute of the Philippines Manila Philippines Department of Computer Science Technological Institute of the Philippines Manila Philippines

ISBN: (纸本)9798350353464

Effective recommendation systems are essential for supporting decision-making in various fields in this age of abundant information. This paper presents a novel framework for a Modified Recommender Algorithm that combines Top-K and Support Vector Machine (SVM) algorithms with the Analytic Hierarchy Process (AHP). Traditional decision-making frameworks such as AHP are susceptible to subjectivity and inconsistencies, necessitating innovative approaches to improve their reliability and effectiveness. The objective is to improve recommendation systems' efficacy and precision by integrating sophisticated machine-learning techniques with resilient decision-making approaches. The proposed framework establishes the hierarchical structure of decision elements and prioritizes alternatives according to user preferences by utilizing AHP, a potent multi-criteria decision-making tool. Support Vector Machine (SVM) is then used as a text classification model to enrich the feature space for recommendations by classifying textual data into pertinent classes. In addition, the framework applies Top-K Algorithms to select the most pertinent alternatives based on SVM classification output, thereby refining the recommendation results. Top-K Algorithms improve overall recommendation accuracy and relevance by iteratively filtering and ranking alternatives. This research advances the field of data science by providing a thorough framework that combines innovative machine learning techniques with conventional decision-making methodologies to address the challenges of recommendation systems in complex and dynamic environments. ©2024 IEEE.

关键词： Analytic hierarchy process

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Lightweight streaming authenticated data structures 22

Lightweight streaming authenticated data structures

引用

22nd ACM SIGSAC Conference on computer and Communications Security, CCS 2015

作者： Yu, Chia-Mu Department of Computer Science and Engineering Yuan Ze University Taoyuan Taiwan Innovation Center for Big Data and Digital Convergence Taoyuan Taiwan

ISBN: (纸本)9781450338325

We develop two novel techniques, FHMT and HWMT, for streaming authenticated data structures to achieve the streaming verifiable computation. By leveraging the computing capability of fully homomorphic encryption, FHMT shifts almost all of the computation tasks to the server, reaching nearly no overhead for the client. HWMT strikes the performance balance between the client and server via the proposed tree decomposition technique over the Merkle tree. We also report our research attempt, SAMT, to construct a more efficient data structure for extremely resource-limited clients without the heavy computation burden on the server.

关键词： Cryptography

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Developing the Role of Firewalls in Enhancing Web Security for Wireless Networks 3

Developing the Role of Firewalls in Enhancing Web Security f...

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3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Narayan, Ritushree Balaji, N.V. Kalanandhini, G. Mahalle, Parikshit N. Wasim, Javed Singh, Roma Usha Martin University Department of Coputing & Information Technology Ranchi India Karpagam Academy of Higher Education Department of Computer Science Coimbatore India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai India Vishwakarma Institute of Information Technology Department of Artificial Intelligence & Data Science Pune India Mangalayatan University Department of Computer Science Aligarh India Himalayan University Department of Computer Science Itanagar India

ISBN: (纸本)9798350319125

Firewalls play a critical role in controlling incoming and outgoing community site visitors and shielding a wireless network from malicious assaults. This technical summary focuses on the development of firewalls as a way to beautify the internet safety for Wi-Fi networks. Contemporary Wi-Fi networks are increasingly more vulnerable to malicious cyber-attacks. Firewalls are one of the simplest strategies of safety, and are able to restricting visitors among networks or from the net. They also can be used to come across and perceive malicious pastime. The development of firewalls has improved at a fast pace in current years. New functions along with Intrusion Detection and Prevention systems (IDS/IPS), URL filtering, virus scanning, user authentication, and application layer filtering, have vastly advanced the effectiveness of firewalls. Advanced strategies such as deploy Rector Reactive tracking (IRM), and community get right of entry to manage (NAC) also are getting used to detect suspicious community requests and put into effect coverage. NAC may be used to both control get admission to network resources, and respond to malicious site visitors. The enhanced internet protection supplied by firewalls is useful for both home and employer networks. Via implementing those capabilities, organizations can lessen the danger of cyberattacks and guard their resources. © 2023 IEEE.

关键词： admission development functions implementing suspicious

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PISketch: Finding Persistent and Infrequent Flows 3

PISketch: Finding Persistent and Infrequent Flows

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3rd ACM SIGCOMM 2022 Workshop on Formal Foundations and Security of programmable Network Infrastructures, FFSPIN 2022

作者： Fan, Zhuochen Hu, Zhoujing Wu, Yuhan Guo, Jiarui Liu, Wenrui Yang, Tong Wang, Hengrui Xu, Yifei Uhlig, Steve Tu, Yaofeng School of Computer Science National Engineering Laboratory for Big Data Analysis Technology and Application Peking University China Computer Science Department University of California Los Angeles United States School of Electronic Engineering and Computer Science Queen Mary University of London United Kingdom ZTE Corporation China

ISBN: (纸本)9781450393294

Finding persistent and inactive activity periods is very helpful in practice, for example to detect intrusion activities. Most of the literature focuses on finding persistent flows or frequent flows. No previous work is able to find persistent and infrequent flows. In this paper, we propose a novel sketch data structure, PISketch, to find persistent and infrequent flows in real time. The key idea of PISketch is to define a weight and its Reward and Penalty System for each flow to combine and balance the information of both persistency and infrequency, and to keep high-weighted flows in a limited space through a strategy. We implement PISketch on P4 and CPU platforms, and compare the performance of PISketch with two strawman solutions (On-Off + CM sketch, and PIE + CM sketch), in terms of finding persistent and infrequent flows. Our experimental results demonstrate the advantage of PISketch, by comparing it to two strawman solutions: 1) The F1 Score of PISketch is around 22.1% and 57.6% higher than two strawman solutions, respectively;2) The Average Relative Error (ARE) of PISketch is around 820.9 (up to 1188.8) and 126.2 (up to 265.6) times lower than two strawman solutions, respectively;3) The insertion throughput of PISketch is around 1.23 and 16.5 times higher than two strawman solutions, respectively. Moreover, we implement two concrete cases of PISketch through end-to-end experiments. All of our codes are available at GitHub. © 2022 ACM.

关键词： infrequent items persistent items sketch weight fusion

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Physical parameter optimization in swarms of ultra-low complexity agents

Physical parameter optimization in swarms of ultra-low compl...

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7th International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2008

作者： Connaughton, Ryan Schermerhorn, Paul Scheutz, Matthias Department of Computer Science and Engineering University of Notre Dame Notre Dame IN 46556 United States Cognitive Science Program Indiana University Bloomington IN 47406 United States

ISBN: (纸本)9781605604701

Physical agents (such as wheeled vehicles, UAVs, hovercraft, etc.) with simple control systems are often sensitive to changes in their physical design and control parameters. As such, it is crucial to evaluate the agent's control systems together with the agent's physical implementation. This can consequently lead to an explosion in the parameter space to be considered. In this paper we investigate the use of swarms of ultra-low complexity agents, and address the issue of finding workable physical agent parameters. We describe a technique for reducing the dimensionality of the search space by performing evaluation tasks that can be used to predict near-optimal parameter values for agents in related multi-agent tasks. We validate our approach on an example task, and demonstrate that this technique can greatly reduce the computational resources required to design a multi-agent system. Copyright © 2008, International Foundation for Autonomous Agents and Multiagent Systems (***). All rights reserved.

关键词： Multi agent systems

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An Evaluation of AI-Driven data Mining Techniques for Large-Scale data Processing 3

An Evaluation of AI-Driven Data Mining Techniques for Large-...

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3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Choudhary, Sheetal Khatoon, Naghma Singh, K. Ranjith Divya, K. Kumar, Santosh D. Gupta, Abhishek Kumar Himalayan University Department of Computer Science Itanagar India Usha Martin University Department of Coputing & Information Technology Ranchi India Karpagam Academy of Higher Education Department of Computer Science Coimbatore India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai India Vishwakarma Institute of Information Technology Department of Artificial Intelligence & Data Science Pune India Mangalayatan University Department of Computer Science Aligarh India

ISBN: (纸本)9798350319125

Information mining and synthetic intelligence (AI) have gained a lot interest in recent years in the discipline of large-scale statistics processing. AI-driven statistics mining strategies are especially effective for identifying beneficial styles and functions in huge datasets. This paper presents an assessment of several typically used AI-pushed information mining techniques for processing big datasets and compares their performance in phrases of pace, accuracy, and scalability. Not unusual algorithms including precept component evaluation and clustering analysis are evaluated and in comparison to recent advances in AI-driven records mining which includes deep mastering and associative statistics mining. The overall performance of every technique is measured throughout 3 categories: speed, accuracy, and scalability. The effects of the evaluation show that deep learning and associative information mining outperform the conventional strategies in terms of accuracy and scalability whilst they're fairly slower than the other techniques. Therefore, these algorithms can be more suitable for positive types of massive-scale statistics processing tasks that require excessive accuracy and scalability. © 2023 IEEE.

关键词： component evaluation learning processing scalability

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Understanding the Limitations of Secure Shell (SSH) in Wireless Network Security 3

Understanding the Limitations of Secure Shell (SSH) in Wirel...

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3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Upadhyay, Amit Kulkarni, Sandip Roy, Sharmistha Yuvaraj, K. Ashok, V. Kale, Sunil D. Mangalayatan University Department of Computer Science Aligarh India Himalayan University Department of Computer Science Itanagar India Usha Martin University Department of Coputing & Information Technology Ranchi India Karpagam Academy of Higher Education Department of Computer Science Coimbatore India Prince Shri Venkateshwara Padmavathy Engineering College Department of Mechanical Engineering Chennai India Vishwakarma Institute of Information Technology Department of Artificial Intelligence & Data Science Pune India

ISBN: (纸本)9798350319125

comfy Shell (SSH) is an effective community protocol used to securely connect devices over a computer community. It gives information encryption for relaxed conversation among clients and servers, and can be used to guard information at the same time as being transmitted over a wi-fi community. But, as with every protocol, there are positive obstacles that should be considered when the usage of SSH to relaxed wi-fi networks. Because of the character of wireless networks, in which records is transmitted through the air, SSH is at risk of numerous vulnerabilities. First, SSH is susceptible to man-in-the- center attacks, which can permit an attacker to intercept the network traffic and examine, alter, or block positive packets. Specially, using SSH makes it viable for an attacker to perform password sniffing, for the reason that protocol does not encrypt the user's login credentials. Additionally, the usage of SSH protocols does now not shield against malware or different malicious software, making it feasible for an attacker to monitor or manipulate an affected system. © 2023 IEEE.

关键词： community examine intercept susceptible vulnerabilities

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A treasure hunting learning model for students studying history and culture in the field with cellphone

A treasure hunting learning model for students studying hist...

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6th International Conference on Advanced Learning Technologies, ICALT 2006

作者： Chang, Alex Chang, Maiga Hsieh, Athena Department of Information and Computer Engineering Chung-Yuan Christian University National Science and Technology Program for E-learning Taiwan

ISBN: (纸本)0769526322

In the treasure hunting process, the hunters could only get few hints with simple words, therefore they must think over with the experience they learned before. The goal of this paper is to propose a treasure hunting learning model and implement a system based on the model. Within the treasure hunting learning model students will become a treasure hunter when they are learning in the field. The learning model makes learning more fun by asking students some questions according to their learning records and physical position. In order to make the system portable and treasure hunting liked, we implement the treasure hunting learning model with the most simple and common cellphone, that is the text-mode cellphone. To verify the learning model is working, a traditional history and culture course in college was taken as the experiment. © 2006 IEEE.

关键词： Learning systems

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MPEG-DASH Multi-View Video and Audio Transmission QoE Over HTTP/2 Stream

MPEG-DASH Multi-View Video and Audio Transmission QoE Over H...

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2024 International Conference on Advanced Technologies for Communications, ATC 2024

作者： Wakayama, Yamato Nunome, Toshiro Graduate School of Engineering Nagoya Institute of Technology Computer Science Program Department of Engineering Nagoya466-8555 Japan

ISBN: (纸本)9798350353983

In this paper, we consider multi-view video and audio streaming using MPEG-DASH, which enables to transmit video tailored to the network conditions over HTTP communication. This paper uses HTTP/2 instead of HTTP/1.1, which the authors previously used. HTTP/2 manages a series of request-response exchanges called a stream, which is assigned a unique stream ID. We perform a subjective experiment under various network conditions to evaluate application-level QoS and QoE. From the evaluation results, we investigate the effect of the HTTP/2 stream on the video and audio quality of the users in the multi-view video transmission scenario. © 2024 IEEE.

关键词： Audio streaming

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